Determinants of Anishinabeck Infant and Early Childhood Growth Trajectories in Sandy Lake, Ontario
Bibliographic record
Abstract
Indigenous ways of knowing and being often focus on the health and wellbeing of future generations. Therefore, the health implications for children of First Nations women, who experience a disproportionate prevalence of type 2 diabetes mellitus (T2DM) and gestational diabetes mellitus (GDM) compared to non-First Nations women living in Canada, are a priority. Infants born to women with GDM are more likely to have high birthweights, which may influence growth trajectories throughout childhood. Infant nutrition is a priority within this context, where breastfeeding can mitigate cardiometabolic disease risk. Therefore, as part of the Sandy Lake Health and Diabetes Research Project (SLHDP), a community-based research project with Sandy Lake First Nation, we collected longitudinal height and weight data for infants and children under 6 years of age and maternal and child health factors using questionnaires. With these data we characterized growth trajectories over the first 6 years of life and explored associations between early life factors and growth patterns. We also conducted a scoping review of the qualitative literature, and interviews with caregivers in Sandy Lake, to understand infant feeding experiences of Indigenous caregivers. Weight-for-age (WAZ), height-for-age (HAZ), and BMI-for-age (BAZ) z-scores were calculated using the World Health Organization (WHO) reference data and plotted using generalized additive models, which demonstrated that Sandy Lake infants and children had z-scores above the WHO reference population. Generalized estimating equations and logistic regression revealed a possible role for high birthweight, caregiver BMI, cigarettes in the home, alcohol consumption during pregnancy, and GDM in subsequent growth patterns. Results of the scoping review and the 26 interviews with 32 caregivers in Sandy Lake emphasized a variety of socioecological factors impacting infant feeding experiences with family and culture playing significant roles. In conclusion, this study is one of the first on Turtle Island (North America) to characterize First Nations infant and child growth and to consider related health and social factors. We identified that infant nutrition is impacted by a variety of factors, highlighting a need for systemic changes that address issues of inadequate income, food and water insecurity, and a lack of cultural safety.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".